DocumentCode :
3669264
Title :
H robust filter design for a class of nonlinear stochastic poisson jump systems
Author :
Bor-Sen Chen;Chien-Feng Wu
Author_Institution :
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 30013, R.O.C.
fYear :
2015
Firstpage :
1557
Lastpage :
1561
Abstract :
Since the nonlinear dynamic systems in engineering, economics and biology may suffer from both continuous Wiener process and discontinuous Poisson process, the robust filter design for a class of nonlinear stochastic Poisson jump systems with external disturbances is studied in this paper. At present, there exists no good filter design method to treat the discontinuous Poisson process filter problem. Based on Ito-Levy formula, a robust H filter design is proposed for nonlinear stochastic Poisson jump systems by solving a Hamilton-Jacobi inequality (HJI) for the robust filter design of nonlinear stochastic Poisson jump system. The optimal H robust filter design problem for the nonlinear stochastic Poisson jump system is also discussed in this study.
Keywords :
"Robustness","Stochastic processes","Stochastic systems","Noise","Asymptotic stability","Stability analysis","Mathematical model"
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2015 IEEE International Conference on
ISSN :
2161-8070
Electronic_ISBN :
2161-8089
Type :
conf
DOI :
10.1109/CoASE.2015.7294322
Filename :
7294322
Link To Document :
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